magistrsko delo
Marko Plankelj (Author), Uroš Mlakar (Mentor)

Abstract

Sodobne tehnologije v zadnjih letih približujejo šport širšemu krogu ljudi z različnimi interaktivnimi podatki med prenosi, zmanjšajo možnost človeške napake, hkrati pa izboljšujejo rezultate tekmovalcev z analizo med tekmo ali informacijami o področjih, ki jim je smiselno nameniti dodatno pozornost na treningih. Tako smo v magistrskem delu skozi teoretičen in praktičen del s pomočjo razvoja aplikacije, ki temelji na konvolucijskih nevronskih mrežah U-Net in YOLOv8 za zaznavo odbojkarskega igrišča ter sledenju premikanju žoge, predstavili možnost uporabe napredne analize posnetkov odbojkarske tekme. S pomočjo uporabe aplikacije lahko uporabnik spozna priložnosti, ki jih, med drugim tudi v športu, ponuja uporaba sodobnih tehnologije.

Keywords

računalniški vid;konvolucijske nevronske mreže;odbojka;spletna aplikacija;

Data

Language: Slovenian
Year of publishing:
Typology: 2.09 - Master's Thesis
Organization: UM FERI - Faculty of Electrical Engineering and Computer Science
Publisher: [M. Plankelj]
UDC: 004.932.021(043.2)
COBISS: 231082755 Link will open in a new window
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Downloads: 28
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Other data

Secondary language: English
Secondary title: Volleyball game analysis using computer vision algorithms
Secondary abstract: In recent years, modern technologies have made sports more accessible to a wider audience by providing interactive data during broadcasts, reducing the risk of human error, and enhancing athletes' performance through real-time analysis and targeted training insights. This master's thesis combines theoretical and practical approaches by developing an application based on U-Net and YOLOv8 convolutional neural networks for volleyball court detection and ball tracking. The project demonstrates the potential of advanced video analysis in sports, allowing users to explore the opportunities modern technology offers in improving sports performance.
Secondary keywords: computer vision;convolutional neural networks;volleyball;web application;
Type (COBISS): Master's thesis/paper
Thesis comment: Univ. v Mariboru, Fak. za elektrotehniko, računalništvo in informatiko, Računalništvo in informacijske tehnologije
Pages: 1 spletni vir (1 datoteka PDF (IX, 61 f.))
ID: 25702929